2020
DOI: 10.1007/s11277-020-07576-9
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Correlation Processor Based Sidelobe Suppression for Polyphase Codes in Radar Systems

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Cited by 13 publications
(3 citation statements)
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“…The reactive tissue and well-differentiated cholangiocarcinoma are difficult to distinguish. As a source for metastases, a primary adenocarcinoma should be omitted when intrahepatic cholangiocarcinoma is considered [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…The reactive tissue and well-differentiated cholangiocarcinoma are difficult to distinguish. As a source for metastases, a primary adenocarcinoma should be omitted when intrahepatic cholangiocarcinoma is considered [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…The performance of various polynomials is examined by varying the optimizing parameter γ and the polynomial which offers maximum PSL reduction is chosen while maintaining constant envelope constraint. Authors in [4] proposed sidelobe suppression method which is based on the correlation processor that uses the P4 polyphase codes, which are good at Doppler tolerant property. Proposed method is implemented with six different windows namely Hamming, Hanning, Blackman, Nuttall, Blackman-Nuttall, and Blackman-Harris.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Examples of polyphase codes are as follows: frequency-derived codes, frank code, Lewis and Kretschmer code, etc. The polyphase frank code finds application in the omnidirectional RADAR systems (Singh and Subba Rao, 2006; Thakur and Saini, 2020). The major task in the polyphase code design is to derive the code with better coherence and correlation.…”
Section: Introductionmentioning
confidence: 99%